Mobile Sensing of Altered EveryDay Function in Early Alzheimer's Disease (MEDEA) (360G-Wellcome-213939_Z_18_Z)

Wearable technologies such as smarlwatches and smartphones and are now widely used in the general population. The aim of this study is to develop a suite of wearables and mobile based apps for passive sensing of everyday behaviours in order to detect behavioural changes that occur in brain disorders such as Alzheimer's disease. This suite would have the potential to meet the global need for low cost scalable tests for early diagnosis and monitoring of disease progression, and additionally will expand phenotypic understanding of disease and deliver ecologically valid outcome measures for future treatment trials. This Award will allow us to complete development of apps for sensing sleep, navigation and social engagement through language use and to apply new modelling approaches to the sensed data to maximise diagnostic accuracy, comparing against existing disease measures. We will also explore privacy-enhancing methods such as use of on-device analytics to minimise leakage of personally-sensitive information.